Comprehensive Analysis of Microtremor data to identify potential landslide (Study Case: KM23 Ponorogo-Trenggalek Road)

References

1. Ammosov, S.M., Kalinina, A.V., Volkov, V.A.
   , 2007. Using a three-component KMV seismometer for recording microtremors in the zone of a landslide slope. Seism. Instrum. 43, 26–33. https://doi.org/10.3103/S0747923907010045
   [Google Scholar]
2. Che, A., Luo, X., Feng, S., Yoshiya, O.
   , 2008. Application of surface wave and microtremor survey in landslide investigation in the Three Gorges reservoir area, Landslides and Engineered slopes from the past to the future. Taylor & Francis Group, London.
   [Google Scholar]
3. Che, A.L., Qi, J.H., Wu, X.P., Iwatate, T., Yoshimine, M., Oda, Y., Ma, Q.W., Zhang, F., Wu, Z.J.
   , 2009. Application of microtremor observation on investigation of geological hazard induced by the great Wenchen earthquake in Sichuan province, Performance-Based Design in Earthquake Geotechnical Engineering. Taylor & Francis Group, London.
   [Google Scholar]
4. Coccia, S., Del Gaudio, V., Venisti, N., Wasowski, J.
   , 2010. Application of Refraction Microtremor (ReMi) technique for determination of 1-D shear wave velocity in a landslide area. J. Appl. Geophys. 71, 71–89. https://doi.org/10.1016/j.jappgeo.2010.05.001
   [Google Scholar]
5. Del Gaudio, V., Coccia, S., Wasowski, J., Gallipoli, M.R., Mucciarelli, M.
   , 2008. Detection of directivity in seismic site response from microtremor spectral analysis. Nat. Hazards Earth Syst. Sci.8.
   [Google Scholar]
6. Izomi, S., Ohara, S.
   , 1999. Measurement of Microtremors on the Surfaces of Slopes28, 187–194.
   [Google Scholar]
7. Jongmans, D., Bièvre, G., Renalier, F., Schwartz, S., Beaurez, N., Orengo, Y.
   , 2009. Geophysical investigation of a large landslide in glaciolacustrine clays in the Trièves area (French Alps). Eng. Geol. 109, 45–56. https://doi.org/10.1016/j.enggeo.2008.10.005
   [Google Scholar]
8. Loke, M.H.
   , 1999. Electrical imaging surveys for environmental and engineering studies. Pract. Guide To 2.
   [Google Scholar]
9. Meric, O., Garambois, S., Malet, J.-P., Cadet, H., Guéguen, P., Jongmans, D.
   , 2007. Seismic noise-based methods for soft-rock landslide characterization. Bull Soc Géol Fr137–148.
   [Google Scholar]
10. Nakamura, Y.
    , 2000. Clear identification of fundamental idea of Nakamura’s technique and its applications.
    [Google Scholar]
11. Naudet, V., Lazzari, M., Perrone, A., Loperte, A., Piscitelli, S., Lapenna, V.
    , 2008. Integrated geophysical and geomorphological approach to investigate the snowmelt-triggered landslide of Bosco Piccolo village (Basilicata, southern Italy). Eng. Geol. 98, 156–167. https://doi.org/10.1016/j.enggeo.2008.02.008
    [Google Scholar]
12. Saenger, E.H., Schmalholz, S.M., Lambert, M.-A., Nguyen, T.T., Torres, A., Metzger, S., Habiger, R.M., Müller, T., Rentsch, S., Méndez-Hernández, E.
    , 2009. A passive seismic survey over a gas field: Analysis of low-frequency anomalies. GEOPHYSICS74, O29–O40. https://doi.org/10.1190/1.3078402
    [Google Scholar]
13. Sassa, K., Canuti, P.
    (Eds.), 2009. Landslides - disaster risk reduction. Springer, Berlin.
    [Google Scholar]
14. Sungkono, B.J.
    , 2012. Karakterisasi Kurva Horizontal-to-Vertical Spectral Ratio: Kajian Literatur dan Permodelan. J. Neutrino.
    [Google Scholar]
15. Uhlemann, S., Hagedorn, S., Dashwood, B., Maurer, H., Gunn, D., Dijkstra, T., Chambers, J.
    , 2016. Landslide characterization using P- and S-wave seismic refraction tomography — The importance of elastic moduli. J. Appl. Geophys. 134, 64–76. https://doi.org/10.1016/j.jappgeo.2016.08.014
    [Google Scholar]
16. Van Dam, R.L.
    , 2012. Landform characterization using geophysics—Recent advances, applications, and emerging tools. Geomorphology137, 57–73. https://doi.org/10.1016/j.geomorph.2010.09.005
    [Google Scholar]
17. Wang, S., Malehmir, A., Bastani, M.
    , 2016. Geophysical characterization of areas prone to quick-clay landslides using radio-magnetotelluric and seismic methods. Tectonophysics677–678, 248–260. https://doi.org/10.1016/j.tecto.2016.04.020
    [Google Scholar]